• DocumentCode
    1843107
  • Title

    The Review of Web Mining in E-Commerce

  • Author

    Yanduo Zhao

  • Author_Institution
    Int. Sch., Beijing Univ. of Posts & Telecommun., Beijing, China
  • fYear
    2013
  • fDate
    21-23 June 2013
  • Firstpage
    571
  • Lastpage
    574
  • Abstract
    Web data mining is a key tool for e-commerce in such an age of Internet. Due to previous studies, there is no such a mining technology superior to others. Therefore, this paper can give a simplified comprehension of web data mining and indicate the improvement direction of each kind of mining algorithm based on their existing defects. This paper first introduces the main process of data mining, including collect data, preprocess data, store the data, apply data mining technologies and evaluate the result. Then this paper tries to analyze different kinds of data mining technologies and how they are used in e-commerce. Finally, we predict the development trend of web data mining in e-commerce domain.
  • Keywords
    Internet; data mining; electronic commerce; Internet; Web data mining; data collection; data preprocessing; data storage; e-commerce; Algorithm design and analysis; Association rules; Classification algorithms; Data models; Databases; Partitioning algorithms; association rule; development trend; e-commerce oriented; review; visualization; web data mining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational and Information Sciences (ICCIS), 2013 Fifth International Conference on
  • Conference_Location
    Shiyang
  • Type

    conf

  • DOI
    10.1109/ICCIS.2013.158
  • Filename
    6643072